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      Perceptions of Electoral Integrity, (PEI-9.0)

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          Abstract

          This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-9.0 cumulative release covers 547 national parliamentary and presidential contests held worldwide in 169 countries from 1 July 2012 to 14 December 2022. For each contest, approximately 40 election experts receive an electronic invitation to fill the survey. The survey includes assessments from 4,981 election experts, with a 2022 response rate of 11%. The study collects 49 indicators to compare elections. These indicators are clustered to evaluate eleven stages in the electoral cycle as well as generating an overall summary Perception of Electoral Integrity (PEI) 100-point index and comparative ranking. The datasets are available for analysis at three levels: COUNTRY-level (169 observations); ELECTION-level (547 observations), and also EXPERT-level (4,981 observations). Each dataset can be downloaded in STATA, CSV, and EXCEL formats.

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          Author and article information

          Journal
          Harvard Dataverse
          2023
          Affiliations
          [1 ] (Royal Military College. Department of Political Science and Economics)
          [2 ] (University of East Anglia. School of Politics, Philosophy, Language and Communication Studies)
          [3 ] (Royal Military College. Queen's University. Department of Political Science and Economics)
          [4 ] (The Electoral Integrity Project)
          [5 ] (Royal Military College of Canada, University of East Anglia)
          Author information
          https://orcid.org/0000-0002-2119-4399
          https://orcid.org/0000-0002-5826-5461
          https://orcid.org/0000-0002-4942-0474
          https://orcid.org/0009-0007-1503-1853
          Article
          10.7910/DVN/2MFQ9K
          6f68d12b-aa32-4bcf-8018-fa39a00eb8c9
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